نتایج جستجو برای: translingual
تعداد نتایج: 210 فیلتر نتایج به سال:
MEI (Mandarin-English Information) is an English-Chinese crosslingual spoken document retrieval (CL-SDR) system developed during the Johns Hopkins University Summer Workshop 2000. We integrate speech recognition, machine translation, and information retrieval technologies to perform CL-SDR. MEI advocates a multi-scale paradigm, where both Chinese words and subwords (characters and syllables) ar...
This paper describes theMandarin–English Information (MEI) project, wherewe investigated the problemof cross-language spoken document retrieval (CL-SDR), and developed one of the first English–Chinese CL-SDR systems.Our systemaccepts an entireEnglish news story (text) asquery, and retrieves relevantChinese broadcast news stories (audio) from the document collection.Hence, this is a cross-langua...
With research in multilingual and intercultural settings becoming more and more common, issues around “translation” have attracted increasing attention in the social sciences. Drawing on their first-hand experiences of doing research in multilingual settings, the authors suggest that processes of translation create moments of friction and hesitation that, in turn, allow for the production of ne...
School literacy in North America continues to focus on society’s dominant languages. Literacy curriculum — particularly during early grades has an urgency for children quickly master emergent skills the official languages, vindicating exclusion of other minoritized languages that multilingual bring school. Guided by a translingual approach literacy, this motherscholar research explores how and ...
In this paper, we introduce and discuss various elements of emerging translation ecosystems that facilitate new community-based, collaborative and crowdsourced approaches and business models based on cloud computing technology platforms, smart marketplaces with aggregation, recombination and hyperdistribution, and that make the online world and its user services exponentially better than the si...
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